(a) Compute the proportion of the dispersion in the X-space accounted for by each principal component. (b) Compute the condition number for Z and the condition index for each principal component. What do the results suggest about possible variance inflation from collinearity?
(c) Describe the first principal component in terms of the original centered and standardized variables. Describe the second principal component.
(d) The sum of the variances of the estimates of the least squares regression coefficients, tr[Var(β)] = Σ(1/λj)σ2, must be larger than σ2/λ4. Compute this minimum (in terms of σ2). How does this compare to the minimum if the four variables had been orthogonal?
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